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相关概念视频

Cross-Sectional Research01:50

Cross-Sectional Research

11.4K
In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
11.4K
Longitudinal Research02:20

Longitudinal Research

12.0K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
12.0K
Longitudinal Studies01:26

Longitudinal Studies

186
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
186
Data Collection by Observations01:08

Data Collection by Observations

12.1K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
12.1K
Case Studies01:22

Case Studies

11.7K
There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.
11.7K
Surveys02:16

Surveys

14.8K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
14.8K

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相关实验视频

Updated: Jul 16, 2025

Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model
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研究导航和社区样本注册:世代队列是否重要?

Ayodeji A Otufowora1, Catherine W Striley2, Krishna Vaddiparti2

  • 1College of Medicine, University of Florida, Gainesville, FL, USA.

Journal of intergenerational relationships
|September 19, 2023
PubMed
概括

领先的婴儿潮一代和信任度较高的人更有可能参加健康研究研究. 这一发现影响了临床试验和健康研究参与的招聘策略.

关键词:
招生 招生 招生 招生健康 街道健康 街道健康参与社区参与的研究.一代一代的队列.导航 导航 导航 导航 导航

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科学领域:

  • 医疗保健服务研究 医疗服务研究
  • 社会学 社会学 社会学
  • 老年学是指老年学的学科.

背景情况:

  • 了解参与健康研究的几代人之间的差异对于有效的招聘至关重要.
  • 社会生态模型 (SEM) 为分析对健康行为的多层次影响提供了一个框架.
  • 像婴儿潮一代和X代这样的世代队伍,表现出不同的生活经历和态度,可能会影响研究参与.

研究的目的:

  • 检查一代人对健康研究的导航和招生的影响.
  • 确定与不同代人参与健康研究相关的人口和态度因素.

主要方法:

  • 利用社会生态模型 (SEM) 作为一个概念框架.
  • 分析了佛罗里达州中北部7,370个社区居住的婴儿潮一代和X一代人的数据.
  • 采用统计分析来比较代际队列之间的入学概率和信任水平,控制SEM级别的因素.

主要成果:

  • 领先的婴儿潮一代 (出生于1946年至1955年) 与X一代 (出生于1965年至1979年) 相比,参加健康研究的可能性高出41%.
  • 报告信任度较高的个人在健康研究中被录取的可能性增加了25%.
  • 在SEM中控制个人,关系和社区层面的因素后,这些协会仍然很重要.

结论:

  • 代际队列和信任是健康研究入学率的重要预测因素.
  • 调查结果强调了需要量身定制的招聘策略,考虑到世代特征并培养信任.
  • 改善研究参与率和健康研究人群中的代表性的影响.